- A player says: "We won every game after switching to new shoes, which proves the shoes made us faster." The reasoning is weak because it:
Answer: ignores other possible causes of the wins
Winning after the switch does not prove the shoes caused it, because other factors such as practice or weaker opponents could explain the wins. The player does cite game results, so the problem is not a reliance on opinion.
- A sociologist argues that remote work increases employee productivity. The sociologist cites a survey of 600 employees at one technology firm: employees who worked remotely at least three days per week reported completing 12% more tasks per week than employees who worked mostly on-site. The sociologist concludes that remote work causes higher productivity and recommends that most firms shift to remote-first policies. Which of the following best describes the author's argument?
Answer: It infers a general causal effect from a single-firm correlation, without fully addressing selection effects or job-type differences.
The sociologist's argument claims remote work causes higher employee productivity, based on a survey from one firm showing more tasks completed by remote workers. The reasoning generalizes a correlation to causation across firms, assuming no selection biases or job differences affect the results. Choice A accurately describes this as inferring a broad causal effect from a limited correlation without addressing confounders like self-selection into remote roles. Distractors like choice B contradict the evidence by claiming reduced productivity, while choice D misrepresents the method as experimental rather than survey-based. To describe argument structures, pinpoint how evidence is used to support claims and identify logical gaps. Common flaws include overgeneralizing from single-case data without considering biases.
- A climate policy essay argues that subsidizing home heat pumps will significantly reduce national greenhouse gas emissions. The essay notes that residential heating accounts for 12% of national emissions and that heat pumps can cut household heating emissions by about 50% when replacing older systems. The author concludes that a subsidy program will reduce national emissions by roughly 6%. The author's reasoning is questionable because it:
Answer: assumes all households will immediately replace existing systems, ignoring adoption rates and that some homes already use low-emission heating.
The climate policy essay argues that subsidizing heat pumps will reduce national greenhouse gas emissions by roughly 6%, based on residential heating accounting for 12% of national emissions and heat pumps cutting household heating emissions by 50%. The reasoning calculates the maximum theoretical impact (12% × 50% = 6%) without considering practical implementation factors. Choice A identifies the key flaw: the argument assumes immediate, universal replacement of all existing heating systems while ignoring realistic adoption rates and the fact that some homes may already use low-emission heating. This unrealistic assumption leads to an inflated estimate of the policy's impact. Choices B, C, and D address technical explanations, data scope, and consumer incentives that don't relate to the core mathematical reasoning flaw. When evaluating policy impact calculations, consider whether the assumptions about implementation and adoption rates are realistic.
- A political scientist claims that negative campaign advertising decreases voter turnout. The scientist cites an analysis of 50 competitive elections: races with higher proportions of negative ads had, on average, 4 percentage points lower turnout than races with fewer negative ads. The scientist concludes that reducing negative ads would increase turnout. A flaw in the scientist's reasoning is that the scientist:
Answer: Infers causation from an association and fails to consider that low-turnout races may encourage more negative advertising.
The political scientist's argument claims negative campaign ads cause decreased voter turnout, supported by an analysis showing lower turnout in races with more negative ads. The reasoning infers causation from this association, assuming the direction flows from ads to turnout without considering reverses. Choice B highlights this flaw by noting the failure to address possible reverse causation, where low-turnout races might prompt more negative ads. Distractors like choice A misrepresent the evidence, as the analysis shows lower turnout with more negativity, not higher. When critiquing correlational arguments, probe for unaddressed directions of causality. A common flaw is mistaking association for unidirectional causation without exploring alternatives.
- Which of the following, if true, would most weaken the report's argument?
Answer: Residents who choose to live near parks tend to have higher incomes and more flexible work schedules, both associated with lower stress.
The argument claims that building new parks will reduce stress levels citywide, based on survey data showing park-adjacent residents have lower stress. The reasoning assumes a causal relationship: parks cause lower stress. However, choice B identifies a critical alternative explanation - residents who choose to live near parks may already have characteristics (higher income, flexible schedules) associated with lower stress, meaning the correlation doesn't prove causation. This self-selection bias severely weakens the argument because it suggests stress differences might exist regardless of park proximity. Choice A strengthens rather than weakens by validating the measurement tool, while C and D are irrelevant to the causal claim. When evaluating causal arguments, always consider whether correlation might be explained by pre-existing differences between groups rather than the proposed cause.
- A flaw in the researcher's reasoning is that the researcher:
Answer: fails to consider that the classes may have differed in prior achievement or teacher effectiveness, independent of textbook format.
The researcher's argument concludes that printed textbooks improve exam performance based solely on comparing test scores between classes using different textbook formats. The critical flaw is failing to control for other variables that could explain the score difference - this is what choice B correctly identifies. The classes may have differed in prior achievement levels, teacher quality, or other factors unrelated to textbook format, making it impossible to attribute the score difference to the textbooks alone. Choice A incorrectly suggests the researcher claimed the exam was too easy, C misrepresents the argument as being about motivation rather than performance, and D raises an irrelevant point about cost. This exemplifies a common logical flaw: assuming correlation proves causation without controlling for confounding variables. When evaluating educational research, always ask whether all relevant variables were controlled.
- A museum director argues that extending weekend hours will increase total annual attendance. The director notes that during a three-month pilot in which the museum stayed open two extra hours on Saturdays, Saturday attendance rose by 22% compared with the same months the previous year. The director concludes that the extension will increase total annual attendance, not merely shift visits to Saturdays, and recommends making the change permanent. The director's conclusion depends on which of the following?
Answer: Most visitors who attended during the extra hours would not otherwise have visited the museum at a different time.
The director's argument claims that extending weekend hours will increase total annual museum attendance, based on a pilot showing higher Saturday attendance without assuming shifts from other days. The reasoning uses comparative attendance data, assuming the increase represents net new visits rather than redistribution. Choice D identifies this dependency: that extra-hour visitors are additional, not cannibalized from other times, which is crucial for the conclusion. Distractors like choice B address spending but not total attendance, and choice C focuses on staff preferences irrelevantly. To identify dependencies, ask what must be true to avoid undermining the conclusion. Common argument flaws include overlooking substitution effects in resource allocation decisions.
- An education policy essay claims that replacing printed textbooks with tablets improves student learning. The author notes that in a district that adopted tablets, average standardized reading scores increased from 71 to 77 over three years. The author also reports that students used the tablets for at least 90 minutes per day in class and concludes that tablets were the primary cause of the score gains. The essay recommends statewide tablet adoption. Which assumption underlies the author's reasoning?
Answer: No other major changes affecting reading achievement occurred in the district during the three-year period.
The author's argument asserts that replacing textbooks with tablets primarily causes improved student learning, based on observed reading score increases in a district that adopted tablets. The reasoning uses pre- and post-adoption score data, assuming no other significant factors influenced the gains during that period. Choice B identifies this key assumption that no other major changes occurred, which must hold for the conclusion to follow logically from the evidence. Distractors like choice A address preferences but do not underlie the causal claim, and choice C assumes test validity, which is not central to attributing causation to tablets. To spot unstated assumptions, ask what must be true for the evidence to support the conclusion without gaps. A common argument flaw is overlooking potential confounders when attributing outcomes to a single intervention.
- A technology blog claims that using a password manager makes people less secure online. The blog cites an informal poll of its readers: among 300 respondents who used a password manager, 28% reported experiencing an account takeover in the last year, compared with 16% among 300 respondents who did not. The blog concludes that password managers increase the risk of account takeovers. A flaw in the blog's reasoning is that the blog:
Answer: treats a correlation from a self-selected poll as evidence of causation, ignoring that higher-risk users may adopt managers more often.
The technology blog claims password managers increase security risks based on an informal poll showing higher account takeover rates among password manager users (28% vs 16%). The argument treats this correlation as evidence of causation without considering selection bias in who chooses to use password managers. Choice C correctly identifies the flaw: the blog treats correlation from a self-selected poll as causation while ignoring that higher-risk users (those who've experienced breaches or are more security-conscious) may be more likely to adopt password managers. This creates a spurious correlation where the apparent cause (password manager use) is actually a result of the underlying risk level. Choices A, B, and D mischaracterize the argument's reasoning. When evaluating survey data, always consider whether the groups being compared have underlying differences that could explain the observed correlation.
- Which of the following, if true, would most strengthen the neuroscientist's conclusion?
Answer: When the study was replicated with a larger and more diverse sample, the music group again outperformed the silence group by a similar margin.
The neuroscientist generalizes from a small lab study to claim instrumental music enhances memory consolidation for students broadly. To strengthen this generalization, we need evidence that the effect holds beyond the specific experimental context. Choice A provides powerful strengthening evidence - replication with a larger, more diverse sample yielding similar results increases confidence that the effect is robust and generalizable rather than a statistical fluke or artifact of the particular sample. Choice B about music preferences doesn't address effectiveness, C about test difficulty affects both groups equally, and D about the silence group's discomfort might actually weaken rather than strengthen the conclusion. Replication, especially with varied populations, is the gold standard for strengthening generalization from experimental findings.
- The author's conclusion depends on which of the following?
Answer: Employees' self-reports about spontaneous conversations accurately reflect meaningful collaboration that affects work outcomes.
The sociologist's argument concludes that remote work reduces collaboration based on survey data showing remote workers report fewer spontaneous problem-solving conversations. For this conclusion to be valid, the sociologist must assume that these self-reported conversations accurately reflect meaningful collaboration - this is what choice A correctly identifies. Without this assumption, the survey data might be measuring something irrelevant to actual collaborative work outcomes. Choice B unnecessarily extends the argument to all tech companies, C introduces an irrelevant claim about personality types, and D discusses profits which aren't part of the collaboration argument. When arguments rely on self-reported data, always question whether what's being measured truly represents what the argument claims it represents.
- The linguist's conclusion depends on which of the following?
Answer: The two groups were comparable in prior reading ability and vocabulary knowledge before the instruction occurred.
The linguist's conclusion that story-based instruction is superior depends critically on the experimental groups being comparable before instruction - otherwise, observed differences might reflect pre-existing abilities rather than instructional effectiveness. Choice A identifies this essential assumption about baseline equivalence between groups. Without comparable starting points in reading ability and vocabulary, we cannot attribute the performance difference to the instructional method. Choice B about word characteristics affects both groups equally, C about teacher preferences is irrelevant to effectiveness, and D about time availability doesn't bear on the comparative conclusion. In experimental arguments, baseline comparability is fundamental - differences in outcomes can only be attributed to treatments when groups start from similar positions.
- Which assumption underlies the committee's reasoning?
Answer: Students who chose to enroll in the pilot seminar were not already more motivated or better prepared than non-enrollees.
The university committee argues that mandating a study strategies seminar will boost overall graduation rates, basing this on a pilot where voluntary enrollees had a 78% four-year graduation rate compared to 62% for non-enrollees. The reasoning uses comparative evidence from the voluntary group to predict outcomes for all students, assuming the pilot group's success stems from the seminar itself rather than self-selection biases. This assumption is critical, as the argument's soundness depends on the idea that enrollees were representative of the broader student body, without inherent advantages like higher motivation. The correct choice, B, identifies this unstated assumption about the comparability of groups, which must hold for the conclusion to follow. Distractors like A and D address implementation or enrollment barriers but overlook the core self-selection flaw that could explain the rate difference. To spot assumptions in arguments, ask what must be true for the evidence to logically support the conclusion, especially in cases involving voluntary versus mandatory participation.
- A marine ecologist argues that sunscreen chemicals are a major cause of coral bleaching at a popular beach. The ecologist notes that bleaching incidents are highest near swimming areas and that water samples there show higher concentrations of certain sunscreen compounds. The ecologist concludes that restricting sunscreen use will significantly reduce bleaching. Which of the following, if true, would most weaken the ecologist's argument?
Answer: Bleaching incidents also increased substantially at offshore reefs with little tourism but unusually high water temperatures during the same period.
The marine ecologist argues that sunscreen chemicals are a major cause of coral bleaching, noting higher bleaching near swimming areas and elevated sunscreen compounds in those waters. The argument proposes restricting sunscreen use to significantly reduce bleaching. Choice A would weaken this argument by providing evidence that another factor - high water temperatures - better explains bleaching patterns: if offshore reefs with little tourism but unusually high temperatures also experienced substantial bleaching during the same period, this suggests temperature rather than sunscreen chemicals is the primary cause. This alternative explanation would undermine the proposed sunscreen restriction policy. Choices C, B, and D provide information about chemical persistence, economic concerns, and sampling methods that don't challenge the causal reasoning. To weaken causal arguments, look for alternative explanations that better account for the observed patterns.
- A city planner argues that planting more street trees will reduce urban crime. The planner cites a report comparing 20 city blocks: blocks with higher tree canopy coverage had 15% fewer reported property crimes than blocks with sparse canopy. The planner concludes that increasing tree planting on low-canopy blocks will cause crime to fall and proposes reallocating part of the policing budget to tree-planting. Which of the following, if true, would most weaken the planner's proposal?
Answer: Low-canopy blocks are disproportionately commercial areas with higher foot traffic and more opportunities for property crime.
The planner's argument claims planting more street trees will reduce urban crime, based on a report correlating higher tree canopy with fewer property crimes. The reasoning infers causation from this association, assuming trees directly lower crime without confounders. Choice C weakens the proposal by introducing a confounding factor—low-canopy blocks being commercial with inherently higher crime opportunities—suggesting the correlation is spurious. Distractors like choice D address resident values without challenging causation, and choice A limits data scope but does not undermine the link. To weaken proposals, highlight variables that could explain both factors independently. A common flaw is overgeneralizing correlations in policy arguments without controlling for contextual differences.
- A public health researcher argues that expanding urban bike-lane networks will reduce citywide obesity rates. The researcher cites a study of 12 neighborhoods in one city: after protected bike lanes were installed, bicycle counts on those corridors rose by 35% and, two years later, the average body mass index (BMI) of residents in those neighborhoods was 0.6 points lower than in 12 matched neighborhoods without new lanes. The researcher concludes that the bike lanes caused the BMI decrease and recommends reallocating road funds from car lanes to bike infrastructure. Which of the following, if true, would most weaken the researcher's argument?
Answer: The neighborhoods receiving bike lanes also opened multiple new grocery stores with subsidized fresh produce during the same period.
The researcher's argument claims that installing protected bike lanes causes reduced obesity rates, structured around a comparative study showing increased bicycle usage and lower BMI in neighborhoods with new lanes versus matched ones without. The reasoning relies on correlational evidence from bike counts and BMI changes, assuming that the lanes directly caused the health improvement without considering other factors. This logic is weakened by choice B, which introduces a confounding variable—new grocery stores with subsidized produce—that could alternatively explain the BMI drop, highlighting a failure to isolate causation. In contrast, choice A addresses enjoyment but does not undermine the causal link, while choice D focuses on pre-existing lanes in control areas but does not directly challenge the observed BMI difference. To evaluate arguments like this, identify potential alternative explanations for the outcome to test the claimed causation. Common flaws include confusing correlation with causation, especially in observational studies without controls for confounders.
- A writer argues: "Since evening hours began, library visits rose 40 percent, so late hours clearly draw new readers." The argument assumes that:
Answer: the extra visits came from first-time library users
A 40 percent rise in visits does not show who visited, so the leap to new readers assumes the extra visits came from first-time users. Staying open all night goes beyond anything the writer claims.
- A fashion industry report indicates that sustainable practices increase brand loyalty. The report is based on consumer surveys from eco-friendly brands. Which of the following best describes the author's argument?
Answer: Brand loyalty is directly tied to sustainable practices.
The fashion industry report indicates that sustainable practices increase brand loyalty based on consumer surveys from eco-friendly brands, establishing a relationship between environmental practices and customer retention. The argument's core structure claims a connection between sustainability and loyalty based on survey evidence. Choice A correctly describes the argument: brand loyalty is directly tied to sustainable practices, which captures the causal relationship the report establishes between environmental practices and customer loyalty. This describes the central claim without making extreme assertions about singular causation. Choices D and B make different claims about exclusivity or correlation patterns, while C addresses consumer awareness rather than the loyalty relationship. To describe industry arguments accurately, identify the key relationship claimed between business practices and outcomes.
- An environmental study indicates that planting more trees in urban areas can improve air quality. The conclusion is based on measurements of pollutants before and after tree planting. Which of the following best describes the author's argument?
Answer: The presence of trees directly reduces air pollutants.
The environmental study claims that planting trees in urban areas improves air quality based on before-and-after pollution measurements, establishing a direct causal relationship. The argument's structure moves from evidence (pollutant measurements) to a causal conclusion about tree planting effects. Choice B correctly describes the argument: it assumes that tree presence directly reduces air pollutants, which is the core mechanism underlying the conclusion. This describes the causal relationship the study establishes between trees and air quality improvement. Choices A and D make extreme claims about trees being the 'only' solution, while C describes a comparative relationship rather than the direct causal mechanism. To analyze argument structure, identify the key causal or logical relationship the author establishes between evidence and conclusion.
- Arguing to keep a river dam, a writer says: "Critics are right that the dam harms fish." This sentence mainly serves to:
Answer: concede a valid point before defending the dam
Granting that the dam harms fish is a concession: the writer admits a fair point while still arguing to keep the dam. It does not signal a reversal, since the writer's overall position stays the same.
